IShares JP Correlations

EMB Etf

USD 90.98 0.27 0.30%

The current 90-days correlation between iShares JP Morgan and iShares iBoxx Investment is -0.08 (i.e., Good diversification). The correlation of IShares JP is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

IShares JP Correlation With Market

Significant diversification

The correlation between iShares JP Morgan and DJI is 0.02 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding iShares JP Morgan and DJI in the same portfolio, assuming nothing else is changed.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in iShares JP Morgan. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in population.

Moving together with IShares Etf

0.89	PCY	Invesco Emerging Markets	Pair Corr
0.89	HYEM	VanEck Emerging Markets	Pair Corr
0.91	EMHY	iShares JP Morgan	Pair Corr
0.87	CEMB	iShares JP Morgan	Pair Corr
0.91	XEMD	Bondbloxx ETF Trust	Pair Corr
0.9	EMHC	SPDR Bloomberg Barclays	Pair Corr
0.86	EMBD	Global X Emerging	Pair Corr
0.85	EMTL	SPDR DoubleLine Emerging	Pair Corr
0.9	JPMB	JPMorgan USD Emerging	Pair Corr
0.8	EMCB	WisdomTree Emerging	Pair Corr
0.82	WIP	SPDR FTSE International	Pair Corr
0.69	ISHG	iShares 1 3	Pair Corr
0.76	IGOV	iShares International	Pair Corr
0.65	TRV	The Travelers Companies	Pair Corr
0.66	MCD	McDonalds	Pair Corr
0.77	JNJ	Johnson Johnson	Pair Corr
0.7	PG	Procter Gamble	Pair Corr
0.78	T	ATT Inc Earnings Call This Week	Pair Corr
0.7	IBM	International Business	Pair Corr
0.78	VZ	Verizon Communications	Pair Corr
0.74	KO	Coca Cola	Pair Corr

Moving against IShares Etf

0.7	EU	enCore Energy Corp	Pair Corr
0.55	AA	Alcoa Corp	Pair Corr
0.51	MSFT	Microsoft	Pair Corr
0.4	HPQ	HP Inc	Pair Corr
0.38	AXP	American Express Sell-off Trend	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.04	0.59	-0.54	0.32	0.47	0.26	0.9	-0.75	-0.01	META
MSFT	-0.04		-0.62	0.09	-0.79	0.44	0.89	0.1	0.44	-0.52	MSFT
UBER	0.59	-0.62		-0.35	0.8	-0.04	-0.53	0.53	-0.85	0.54	UBER
F	-0.54	0.09	-0.35		-0.05	-0.07	-0.08	-0.39	0.56	0.31	F
T	0.32	-0.79	0.8	-0.05		-0.41	-0.71	0.17	-0.65	0.58	T
A	0.47	0.44	-0.04	-0.07	-0.41		0.57	0.7	-0.02	-0.18	A
CRM	0.26	0.89	-0.53	-0.08	-0.71	0.57		0.33	0.24	-0.58	CRM
JPM	0.9	0.1	0.53	-0.39	0.17	0.7	0.33		-0.63	0.07	JPM
MRK	-0.75	0.44	-0.85	0.56	-0.65	-0.02	0.24	-0.63		-0.31	MRK
XOM	-0.01	-0.52	0.54	0.31	0.58	-0.18	-0.58	0.07	-0.31		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Click cells to compare fundamentals

Check Volatility

Backtest Portfolio

Please upgrade your account to get full access to Macroaxis premium features

Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

JPM	+ 0.9	META
CRM	+ 0.89	MSFT
T	+ 0.8	UBER
JPM	+ 0.7	A
UBER	+ 0.59	META
XOM	+ 0.58	T

High negative correlations

MRK	- 0.85	UBER
T	- 0.79	MSFT
MRK	- 0.75	META
CRM	- 0.71	T
MRK	- 0.65	T
MRK	- 0.63	JPM

IShares JP Competition Risk-Adjusted Indicators

There is a big difference between IShares Etf performing well and IShares JP ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze IShares JP's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
META	1.59	0.02	0.00	(0.05)	0.00	0.00	2.57	(3.73)	8.90
MSFT	1.12	(0.15)	0.00	(0.28)	0.00	0.00	2.58	(2.14)	10.31
UBER	1.88	0.41	0.19	0.74	2.06	(2.04)	4.72	(3.13)	12.75
F	1.47	0.07	0.03	0.00	2.22	(1.39)	2.71	(2.89)	10.14
T	1.04	0.26	0.16	0.40	1.61	(1.11)	1.90	(1.75)	11.66
A	1.17	(0.12)	0.00	(0.21)	0.00	0.00	2.92	(2.59)	9.03
CRM	1.38	(0.27)	0.00	(0.31)	0.00	0.00	2.72	(3.81)	8.88
JPM	1.10	0.09	0.05	0.02	1.74	(1.04)	1.99	(3.35)	6.85
MRK	1.17	(0.11)	0.00	1.52	0.00	0.00	2.07	(1.80)	11.58
XOM	1.06	0.11	0.10	0.17	1.39	(1.08)	2.55	(2.36)	5.89

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2024 Macroaxis LLC